Search rad-mem's persistent cross-session memory database for past work.
npx skills add https://github.com/thedotmack/rad-mem --skill mem-search
Please help me install this Agent Skill. Skill: mem-search Source: https://github.com/thedotmack/rad-mem/tree/main/plugin/skills/mem-search Command: npx skills add https://github.com/thedotmack/rad-mem --skill mem-search
Claude Code sessions often hit context limits, making it hard to remember past work or project history. Manually sifting through old transcripts is time-consuming and inefficient. This Skill provides persistent memory and efficient retrieval, ensuring Claude always remembers what you've done.
Use the mem-search skill to find all bug fixes from last week.
High-intent search queries and answers about installing and using this skill.
Use mem-search to query your persistent cross-session memory database with natural language. Search returns indexed results showing relevant past work, decisions, and code changes from earlier sessions without manual transcript sifting.
Yes. mem-search uses a 3-step workflow: search your memory index, review results, then fetch full details only for selected IDs. This progressive disclosure saves tokens by fetching summaries first, then complete information only when needed.
Instead of manually priming context or searching logs, mem-search automatically captures and indexes past tool usage and semantic summaries. Query it to surface relevant prior work, reducing token overhead while keeping project history accessible across sessions.
mem-search runs on Node.js, uses PM2 for process management, and SQLite3 as its persistent memory database. These dependencies enable cross-session storage and efficient querying of your work history.
Yes. mem-search integrates into automation and project management contexts by surfacing historical solutions, bug fixes, and implementation patterns. Query it to recall how you solved similar problems or what tasks ran in previous sessions.
Use natural language queries like 'What bugs did we fix last session?' or 'How did we implement authentication?' mem-search interprets semantic intent, returning indexed summaries first so you can select relevant IDs to fetch full details.
LautaroSanzSearch and retrieve indexed information from a persistent cross-session memory database for development projects.
thedotmackSearch rad-mem's persistent cross-session memory database for past work.
fullsend-aiCreate immutable Architecture Decision Records with context, decision, and consequences.
LautaroSanzCaptures tool usage observations and generates semantic summaries for OpenCLaw agents' persistent memory across sessions.
